Journal of quantitative description: digital media最新文献_第3页

Let's report our rivals: how Chinese fandoms game content moderation to restrain opposing voices 让我们来报道一下我们的竞争对手:中国的游戏内容审核是如何抑制反对声音的

Journal of quantitative description: digital media Pub Date : 2023-04-11 DOI: 10.51685/jqd.2023.006

A. Zhao, Zhaodi Chen

{"title":"Let's report our rivals: how Chinese fandoms game content moderation to restrain opposing voices","authors":"A. Zhao, Zhaodi Chen","doi":"10.51685/jqd.2023.006","DOIUrl":"https://doi.org/10.51685/jqd.2023.006","url":null,"abstract":"While crowdsourcing approaches in content moderation systems increase the governance capacity of social media, they also offer a loophole for malicious users to massively report and restrict disliked content. To fill the knowledge gap about large-scale, bottom-up attempts at restraining online expressions, we focus on a type of public and institutionalized mass reporting: anti-smear (反黑) campaigns within Chinese online fandom communities, where fans coordinate together and collectively report content they perceive as inappropriate. Based on detailed data of more than two hundred anti-smear groups collected from Weibo and interviews with active participants, our paper examines the motives and dynamics of anti-smear campaigns, the coordination strategies used to game the content moderation system, and the diffusion of anti-smear culture among fandom networks. We argue that anti-smear is essentially a practice of information control and reflects an intolerant mindset of social media users towards dissidents. This paper also points out the vulnerability of community-based content moderation systems to be weaponized in a polarized age, which brings great challenges to platform governance.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83236231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cross-Platform Reactions to the Post-January 6 Deplatforming 对1月6日之后的退台的跨平台反应

Journal of quantitative description: digital media Pub Date : 2023-03-12 DOI: 10.51685/jqd.2023.004

C. Buntain, M. Innes, Tamar Mitts, Jacob N. Shapiro

{"title":"Cross-Platform Reactions to the Post-January 6 Deplatforming","authors":"C. Buntain, M. Innes, Tamar Mitts, Jacob N. Shapiro","doi":"10.51685/jqd.2023.004","DOIUrl":"https://doi.org/10.51685/jqd.2023.004","url":null,"abstract":"We study changes in social media usage following the ‘Great Deplatforming’ inthe aftermath of the 6 January 2021 attack on the US Capitol. Following theattack, several major platforms banned thousands of accounts, ostensibly tolimit misinformation about voter fraud and suppress calls for violence. At thesame time, alternative platforms like Gab, BitChute, and Parler welcomed thesedeplatformed individuals. We identify three key patterns: First, in studyingthe platforms that emerged among users seeking alternative spaces, we see highfrequencies of users bridging these communities announcing their intent to joinnon-mainstream platforms to their audiences on mainstream platforms. Second, focusing on platforms that were created to be alternative, anti-censorshipspaces, deplatforming preceded a sustained increase in engagement with Gabacross Twitter, Reddit, and Google search, while Parler saw a steep decline inengagement. Third, examining the language in these spaces, toxic discourseincreased briefly on Reddit and Twitter but returned to normal after the deplatforming, while Gab became more toxic. These results suggest that whiledeplatforming may precede a reduction in targeted discussions within a specific platform, it can incentivize users to seek alternative platforms where thesediscussions are less regulated and often more extreme.As these alternative spaces are often more political and extreme than their mainstream counterparts, deplatforming may drive single-platform improvements at the expense of the larger information ecosystem.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82365372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Pronoun Lists in Profile Bios Display Increased Prevalence, Systematic Co-Presence with Other Keywords and Network Tie Clustering among US Twitter Users 2015-2022 2015-2022年美国Twitter用户中，个人资料Bios中代词列表的流行率、与其他关键词的系统共存率和网络联系聚类率均有所上升

Journal of quantitative description: digital media Pub Date : 2023-03-12 DOI: 10.51685/jqd.2023.003

Liam Tucker, Jason Jeffrey Jones

{"title":"Pronoun Lists in Profile Bios Display Increased Prevalence, Systematic Co-Presence with Other Keywords and Network Tie Clustering among US Twitter Users 2015-2022","authors":"Liam Tucker, Jason Jeffrey Jones","doi":"10.51685/jqd.2023.003","DOIUrl":"https://doi.org/10.51685/jqd.2023.003","url":null,"abstract":"Over the past few years, pronoun lists have become more prevalent in online spaces. Currently, various LGBT+ activists, universities, and corporations encourage people to share their preferred pronouns. Little research exists examining the characteristics of individuals who do publicly share their preferred pronouns. Using Twitter bios from the US between early 2015 and June 30, 2022, we explored users’ expression of preferred pronouns. First, we noted the prevalence of users with pronoun lists within their bio has increased substantially. Second, we observed that certain linguistic tokens systematically co-occurred with pronoun lists. Specifically, tokens associated with left-wing politics, gender or sexual identity, and social media argot co-occurred disproportionately often alongside pronoun lists, while tokens associated with right-wing politics, religion, sports, and finance co-occurred infrequently. Additionally, we discovered clustering among Twitter users with pronouns in their bios. Specifically, we found an above-average proportion of the followers and friends of Twitter users with pronouns in their bio also had pronouns in their bios. Twitter users who did not share their preferred pronouns, on the other hand, were disproportionately unlikely to be connected with Twitter users who did.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"31 5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82963902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Slava Ukraini: Exploring Identity Activism in Support of Ukraine via the Ukraine Flag Emoji on Twitter Slava Ukraini:通过推特上的乌克兰国旗表情符号探索支持乌克兰的身份行动主义

Journal of quantitative description: digital media Pub Date : 2023-03-11 DOI: 10.51685/jqd.2023.005

Margot Hare, Jason Jones

{"title":"Slava Ukraini: Exploring Identity Activism in Support of Ukraine via the Ukraine Flag Emoji on Twitter","authors":"Margot Hare, Jason Jones","doi":"10.51685/jqd.2023.005","DOIUrl":"https://doi.org/10.51685/jqd.2023.005","url":null,"abstract":"Identity Activism is a new phenomenon afforded by the massive popularity of social media. It consists of the prominent display of a social movement symbol within a space reserved for description of the self. The 2022 Russian invasion of Ukraine provides a contemporary (yet unfortunate) opportunity to observe this phenomenon. Here, we introduce and explore this concept in the context of the recent Twitter trend of displaying the Ukraine flag emoji in bios and names to signal support of Ukraine. We explore several questions, including: how has the popularity of this trend changed over time, are users who display the flag more likely to be connected to others who do, and what types of users are and are not participating. We find that Ukraine flag emoji prevalence in both names and bios increased many-fold in late February 2022, with it becoming the 11th most prevalent emoji in bios and the 3rd most prevalent emoji in names during March. We also find evidence that users who display the flag in their bio or name are more likely to follow and be followed by others who also do so, as compared to users who do not. Finally, we observe that users who share politically left-leaning messages were most likely to display the emoji. Those who share account information from alternative social media sites and non-personal accounts appear least likely. These findings give us insight into how users participate in Identity Activism, what connections exist between participating users, and, in this particular case, what types of users participate.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82301375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Social Media Repertoires: Investigating Multifaceted Social Media Use Among Late Adolescents 社交媒体技能:调查晚熟青少年的多方面社交媒体使用

Journal of quantitative description: digital media Pub Date : 2023-02-23 DOI: 10.51685/jqd.2023.002

Tobias Frey, Thomas N. Friemel

{"title":"Social Media Repertoires: Investigating Multifaceted Social Media Use Among Late Adolescents","authors":"Tobias Frey, Thomas N. Friemel","doi":"10.51685/jqd.2023.002","DOIUrl":"https://doi.org/10.51685/jqd.2023.002","url":null,"abstract":"Social media play a crucial role in adolescents’ everyday lives and impact their well-being, mental health, and risk behavior. Consequently, it is vital to understand the multifaceted social media use of this age group. However, despite the increasing number of platforms affording the curation of communication and audiences, studies to date have predominantly examined single platforms while neglecting sharing behavior and the variety of communication partners. In this article, we thus apply a holistic repertoire perspective that offers essential descriptive insights. We consider active social media users that 1) use multiple communication platforms, 2) apply various communication practices, and 3) curate distinct communication partners. We analyze data from a representative survey among late adolescents (ages 15–19) in Switzerland and explore the use of six social media platforms (i.e., Instagram, Snapchat, TikTok, Pinterest, Twitter, and Facebook). We identify social media repertoires, analyze consumption, sharing, and curation practices, and compare perceived and addressed actors across platforms. The implications for future media use and effects research are discussed.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"48 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83199181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

The Interplay between Right-Wing Alternative Media, Mainstream Media, and Political Elites in the United States 美国右翼另类媒体、主流媒体与政治精英之间的相互作用

Journal of quantitative description: digital media Pub Date : 2023-02-23 DOI: 10.51685/jqd.2023.001

Wai Lam Wong, D. Trilling

{"title":"The Interplay between Right-Wing Alternative Media, Mainstream Media, and Political Elites in the United States","authors":"Wai Lam Wong, D. Trilling","doi":"10.51685/jqd.2023.001","DOIUrl":"https://doi.org/10.51685/jqd.2023.001","url":null,"abstract":"Right-wing anti-establishment sentiment has enabled the mainstreaming of alternative media outlets across Europe and the United States. Earlier research has quantified the public recognition of these media actors through web traﬀic rankings, direct social media engagement (e.g., reactions, comments, shares), and topic overlap with establishment counterparts. We demonstrate a computationally scalable approach which (1) sharpens the analytical unit from topic (e.g., “immigration”) to specific news event (e.g., “migrant caravan traveling from Honduras”) and (2) enables the temporal ordering of the same news event appearing among media and politicians. Our method uses a combination of URL matching, word embedding similarity metrics, and network-based eventdetection techniques. We draw two main findings from a dataset of articles from 13 U.S. right-wing media outlets and (re-)tweets by congressional Republicans from 2016 to 2020. First, we identify a clear shift in politicians’ media consumption from left- to right-wing outlets. While established-right outlets made the largest gains (30% to 42% of all (re-)tweets), alternative-right outlets also grew from 2% to 5%. Second, we identify increasing content alignment among established- and alternative-right outlets as the URL-to-dyad ratio is almost halved over the time period. Finally, we present a proof-of-concept for detecting media outlets’ indirect political alignment.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76336943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Misinformation in India's 2019 National Election 印度2019年全国大选中的错误信息

Journal of quantitative description: digital media Pub Date : 2022-12-07 DOI: 10.51685/jqd.2022.021

Kiran Arabaghatta Basavaraj

引用次数: 0

Digital Advertising in U.S. Federal Elections, 2004-2020 2004-2020年美国联邦选举中的数字广告

Journal of quantitative description: digital media Pub Date : 2022-11-23 DOI: 10.51685/jqd.2022.026

Adam Sheingate, James Scharf, Conner Delahanty

引用次数: 1

Digital Literacy and Vulnerability to Misinformation 数字素养和对错误信息的脆弱性

Journal of quantitative description: digital media Pub Date : 2022-11-08 DOI: 10.51685/jqd.2022.025

Ayesha Ali, I. Qazi

引用次数: 0

Who Shares Conspiracy Theories and Other Misinformation about Covid-19 Online: Survey Evidence from Five Countries 谁在网上分享关于Covid-19的阴谋论和其他错误信息:来自五个国家的调查证据

Journal of quantitative description: digital media Pub Date : 2022-10-28 DOI: 10.51685/jqd.2022.024

Mark Pickup, Dominik A. Stecuła, Clifton van der Linden

{"title":"Who Shares Conspiracy Theories and Other Misinformation about Covid-19 Online: Survey Evidence from Five Countries","authors":"Mark Pickup, Dominik A. Stecuła, Clifton van der Linden","doi":"10.51685/jqd.2022.024","DOIUrl":"https://doi.org/10.51685/jqd.2022.024","url":null,"abstract":"Social media have long been considered a venue in which conspiracy theories and other misinformation incubate and spread. It has been no different during the COVID-19 pandemic. However, understanding who spreads misinformation by sharing it on social media, and why, has been underexplored, especially in a cross-national context. The global nature of the novel coronavirus pandemic presents an opportunity to understand the exposure and sharing of the same COVID-19 misinformation across multiple countries. We rely on nationally representative surveys conducted in July of 2020 and January of 2021 in the United States, United Kingdom, Canada, Australia, and New Zealand, to begin to understand what characterizes those who are most likely to share misinformation online. We find that Americans are no more likely to encounter prominent COVID-19 misinformation online but are considerably more likely to share it. Americans are less likely to say they share misinformation to make others aware of it or to criticize it, and considerably more likely to say their motivation is to promote it or to demonstrate their support for it. Americans are also more likely to say their motivation is to connect with others. In all countries but Canada, those who trust information from social media are more likely to share misinformation than those who do not trust social media. In all countries, those who have populist attitudes and distrust health officials are more likely to share misinformation than those who do not. In the U.S. in particular, sharing misinformation is associated with trust in government and identifying as conservative. Our results make clear that the United States is an outlier. We theorize why this might be the case.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85198322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1